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  • Search: subject:"Clickbait"
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Year of publication
Subject
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Clickbait 3 Communication media 2 Kommunikationsmedien 2 Manipulation 2 Media coverage 2 Mediale Berichterstattung 2 Bibliometrics 1 Bibliometrie 1 Chinese clickbait dataset 1 Click-bait 1 Clickbait detection 1 Consumer behaviour 1 Fake news 1 Formality 1 Generative AI 1 Grounded Theory 1 Grounded theory 1 Information dissemination 1 Informationsverbreitung 1 Interdisciplinary research 1 Interdisziplinäre Forschung 1 Internet marketing 1 Konsumentenverhalten 1 Media market 1 Medienmarkt 1 News media market 1 Online advertising 1 Online-Marketing 1 Persuasion Knowledge Model 1 Propensity score matching 1 Sentiment 1 Sentiment analysis 1 Sharing 1 Social media 1 Source derogation 1 Text-mining 1 Topic modeling 1 Transfer learning 1 Virality 1 alternative facts 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 2
Language
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English 5
Author
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Chatterjee, Swagato 1 De Bruyn, Arnaud 1 Dutta, Souvik 1 George, Jordana 1 Gerhart, Natalie 1 Liu, Hung-Yu 1 Maslim, Martinus 1 Mukherjee, Prithwiraj 1 Panmand, Meghraj 1 Sandrini, Luca 1 Somogyi, Robert 1 Torres, Russell 1 Wang, Hei-Chia 1
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Published in...
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Data Technologies and Applications 1 Economics letters 1 Industrial Management & Data Systems 1 Journal of management information systems : JMIS 1 Journal of the Academy of Marketing Science 1
Source
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ECONIS (ZBW) 3 Other ZBW resources 2
Showing 1 - 5 of 5
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CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method
Wang, Hei-Chia; Maslim, Martinus; Liu, Hung-Yu - In: Data Technologies and Applications 58 (2024) 2, pp. 243-266
Purpose A clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content …. There are numerous negative repercussions of clickbait, such as causing viewers to feel tricked and unhappy, causing long …-term confusion, and even attracting cyber criminals. Automatic detection algorithms for clickbait have been developed to address this …
Persistent link: https://www.econbiz.de/10015342700
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Uncovering the truth about fake news : a research model grounded in multi-disciplinary literature
George, Jordana; Gerhart, Natalie; Torres, Russell - In: Journal of management information systems : JMIS 38 (2021) 4, pp. 1067-1094
Persistent link: https://www.econbiz.de/10012804197
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Generative AI and deceptive news consumption
Sandrini, Luca; Somogyi, Robert - In: Economics letters 232 (2023), pp. 1-4
Persistent link: https://www.econbiz.de/10014462536
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Did clickbait crack the code on virality?
Mukherjee, Prithwiraj; Dutta, Souvik; De Bruyn, Arnaud - In: Journal of the Academy of Marketing Science 50 (2022) 3, pp. 482-502
Persistent link: https://www.econbiz.de/10013199122
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Explaining and predicting click-baitiness and click-bait virality
Chatterjee, Swagato; Panmand, Meghraj - In: Industrial Management & Data Systems 122 (2022) 11, pp. 2485-2507
. Therefore, click-bait detection and prediction of click-bait virality have become important challenges for social media … platforms to keep the platform click-bait free and give a better user experience. The purpose of this study is to try exploring … virality of a click-bait. Design/methodology/approach This study has used 17,745 tweets from Twitter with 4,370 click …
Persistent link: https://www.econbiz.de/10014825416
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